Wavelet-Based Kalman Smoothing Method for Uncertain Parameters Processing: Applications in Oil Well-Testing Data Denoising and Prediction

The low-distortion processing of well-testing geological parameters is a key way to provide decision-making support for oil and gas field development. However, the classical processing methods face many problems, such as the stochastic nature of the data, the randomness of initial parameters, poor d...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Xin Feng, Qiang Feng, Shaohui Li, Xingwei Hou, Mengqiu Zhang, Shugui Liu
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2020-08-01
Collection:Sensors
Sujets:
low-distortion processing
oil well-testing data
wavelet analysis
Kalman prediction
data smoothing
data compression
Accès en ligne:https://www.mdpi.com/1424-8220/20/16/4541
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires